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Image representation in hypercolumnar structure by means of associative memory
Author(s): H. Janssen
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Paper Abstract

We propose a pattern recognition system based on an architecture close to the one found in human visual cortex which is called Hypercolumns. We use this discrete parametric representation in connection with a sparsley coding associative memory. In principle the application of such a representation appears to be very well suited for data reduction and pattern recognition processes and is part of a neural instruction set [2].

Paper Details

Date Published: 6 November 2017
PDF: 8 pages
Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 13953Q (6 November 2017); doi: 10.1117/12.2294377
Show Author Affiliations
H. Janssen, Ruhr-Univ. Bochum (Germany)


Published in SPIE Proceedings Vol. 1395:
Close-Range Photogrammetry Meets Machine Vision
Armin Gruen; Emmanuel P. Baltsavias, Editor(s)

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